Search results

This paper was also presented at the Oyez/IBC conference entitled “The Computer in Road Transport Planning”, held in September of this year. Whilst at the conference, Terry Goldberg prefaced his presentation with the comment that it is difficult to define the depot operation as either Road Transport or Planning, so that it might be argued that his paper was something of a rogue elephant, considering the title of the conference. However, he concluded that the operation of depots is so clearly and closely related that no apology is required for its inclusion.

This chapter reviews the recent developments at the intersection of personalization and AI in marketing and related fields. We provide a formal definition of personalized policy and review the methodological approaches available for personalization. We discuss scalability, generalizability, and counterfactual validity issues and briefly touch upon advanced methods for online/interactive/dynamic settings. We then summarize the three evaluation approaches for static policies – the Direct method, the Inverse Propensity Score (IPS) estimator, and the Doubly Robust (DR) method. Next, we present a summary of the evaluation approaches for special cases such as continuous actions and dynamic settings. We then summarize the findings on the returns to personalization across various domains, including content recommendation, advertising, and promotions. Next, we discuss the work on the intersection between personalization and welfare. We focus on four of these welfare notions that have been studied in the literature: (1) search costs, (2) privacy, (3) fairness, and (4) polarization. We conclude with a discussion of the remaining challenges and some directions for future research.

Purpose – As researchers need partners to collaborate with, this study aims to provide author recommendation for academic researchers for potential collaboration, conference planning, and compilation of scientific working groups with the help of social information. Hereby the chapter analyzes and compares different similarity metrics in information and computer science.

Methodology/approach – The study uses data from the multidiscipline information services Web of Science and Scopus as well as the social bookmarking service CiteULike to measure author similarity and recommend researchers to unique target researchers. The similarity approach is based on author co-citation, bibliographic coupling of authors and collaborative filtering methods. The developed clusters and graphs are then evaluated by these target researchers.

Findings – The analysis shows, for example, that different methods for social recommendation complement each other and that the researchers evaluated user- and tag-based data from a social bookmarking system positively.

Research limitations/implications – The present study, providing author recommendation for six target physicists, is supposed to be a starting point for further approaches on social academic author recommendation.

Practical implications – The chapter investigates in recommendation methods and similarity algorithm models as basis for an implementation of a social recommendation system for researchers in academics and knowledge-intensive organizations.

Originality/value of chapter – The comparison of different similarity measurements and the user evaluation provide new insights into the construction of social data mining and the investigation of personalized recommendation.

A wide number of technologies are currently in store to harness the challenges posed by pandemic situations. As such diseases transmit by way of person-to-person contact or by any other means, the World Health Organization had recommended location tracking and tracing of people either infected or contacted with the patients as one of the standard operating procedures and has also outlined protocols for incident management. Government agencies use different inputs such as smartphone signals and details from the respondent to prepare the travel log of patients. Each and every event of their trace such as stay points, revisit locations and meeting points is important. More trained staffs and tools are required under the traditional system of contact tracing. At the time of the spiralling patient count, the time-bound tracing of primary and secondary contacts may not be possible, and there are chances of human errors as well. In this context, the purpose of this paper is to propose an algorithm called SemTraClus-Tracer, an efficient approach for computing the movement of individuals and analysing the possibility of pandemic spread and vulnerability of the locations.

Pandemic situations push the world into existential crises. In this context, this paper proposes an algorithm called SemTraClus-Tracer, an efficient approach for computing the movement of individuals and analysing the possibility of pandemic spread and vulnerability of the locations. By exploring the daily mobility and activities of the general public, the system identifies multiple levels of contacts with respect to an infected person and extracts semantic information by considering vital factors that can induce virus spread. It grades different geographic locations according to a measure called weightage of participation so that vulnerable locations can be easily identified. This paper gives directions on the advantages of using spatio-temporal aggregate queries for extracting general characteristics of social mobility. The system also facilitates room for the generation of various information by combing through the medical reports of the patients.

It is identified that context of movement is important; hence, the existing SemTraClus algorithm is modified by accounting for four important factors such as stay point, contact presence, stay time of primary contacts and waypoint severity. The priority level can be reconfigured according to the interest of authority. This approach reduces the overwhelming task of contact tracing. Different functionalities provided by the system are also explained. As the real data set is not available, experiments are conducted with similar data and results are shown for different types of journeys in different geographical locations. The proposed method efficiently handles computational movement and activity analysis by incorporating various relevant semantics of trajectories. The incorporation of cluster-based aggregate queries in the model do away with the computational headache of processing the entire mobility data.

As the trajectory of patients is not available, the authors have used the standard data sets for experimentation, which serve the purpose.

This paper proposes a framework infrastructure that allows the emergency response team to grab multiple information based on the tracked mobility details of a patient and facilitates room for various activities for the mitigation of pandemics such as the prediction of hotspots, identification of stay locations and suggestion of possible locations of primary and secondary contacts, creation of clusters of hotspots and identification of nearby medical assistance. The system provides an efficient way of activity analysis by computing the mobility of people and identifying features of geographical locations where people travelled. While formulating the framework, the authors have reviewed many different implementation plans and protocols and arrived at the conclusion that the core strategy followed is more or less the same. For the sake of a reference model, the Indian scenario is adopted for defining the concepts.

Identifying and measuring personality traits assists to understanding professional career choices, however, what impact personality traits have on nursing student rural career choice remains absent. The purpose of this paper is to identify personality traits among nursing students that may be predictive of pursuing a rural career.

A cross-sectional design was used to examine the importance Bachelor of Nursing students place on undertaking rural careers. All nursing students (n=1,982) studying a three-year bachelor’s degree were invited to complete a questionnaire examining personality traits and rural practice intentions.

Students who saw themselves working rurally after graduation had higher levels of conscientiousness than those who wanted metropolitan careers. Students with higher levels of agreeableness or open-mindedness were more likely to consider rural practice when individual community factors were carefully considered. Finally, students with higher levels of neuroticism were less likely to consider rural practice as a future career pathway.

The cohort had high numbers of student from rural and regional settings, which may limit the ability to generalise the findings. In addition, student respondents of the survey may not be representative of the whole student cohort given the low response rate.

Key personality traits are identifying factors that contribute to nursing student decision making regarding rural practice. Students who displayed higher levels of agreeableness and conscientiousness and open-mindedness have traits that are most likely to impact the consideration of rural practice across their nursing career, which gives additional insight into targeted recruitment strategies.

Exercise on prescription is common, but many primary care trusts are only just becoming aware of the potential of offering parallel access to other activities. Here Terry Rigby describes the arts on prescription programme that has been running in Stockport for nine years. He highlights the benefits of co‐working between artists and mental health workers, pinpoints issues relating to image and marketing and urges us to consider how we can support people to continue moving forward in their lives.

The purpose of this paper is to develop two new constructs – sensitivity to gender and race/ethnicity diversity – and examined how differences in these constructs moderate the diversity – affective outcomes relationships.

A sample of 250 full-time employees completed an online survey on their sensitivity, workgroup diversity, and affective reactions toward their workgroups.

The paper performed a construct validation of the new sensitivity to diversity measures and found that they were conceptually distinct from two existing diversity perceptual constructs – gender identity salience and pro-diversity belief. Furthermore, the authors found that the moderating effect of sensitivity to gender diversity on the relationship between gender diversity and perceived cohesiveness and workgroup commitment was stronger for women than for men. The authors also found that the moderating role of sensitivity to race/ethnicity diversity on the relationship between race/ethnicity diversity and workgroup commitment and satisfaction with coworkers varied by race/ethnicity.

Although common method variance can be a problem, diagnostic tests indicated that it had minimal influence on the results.

Organizations need to understand how individual differences among employees, especially among female and racial/ethnic minority employees, affect their responses to workgroup diversity and diversity initiatives.

Prior research on diversity has generally not examined individual differences in the propensity to notice differences. This study contributes to the literature by examining the moderating roles of such important individual characteristics on the relationship between diversity and affective outcomes.

For over 15 years, Mental Health First Aid™ (MHFA) has successfully been delivered in Wales, United Kingdom, with growing interest in the MHFA programme and increasing course attendees. Trainers, aware of the need for support, know the importance of MHFA being accessible for different communities and learner groups. MHFA has always focused on increasing mental health literacy. One marginalised group, with lower mental health literacy than the general population, is Deaf people, a group with increased risk of mental health problems. This paper aims to provide insights about why Deaf people are twice as likely as hearing people to experience mental health problems.

During this paper, the authors have used four focal points i) exploring situational contexts for Deaf people; ii) reasons why Deaf individuals are at greater risk of mental health problems; iii) the authors explore a project, “Hear Deaf”, and implementation of MHFA Wales by Deaf MHFA trainers; and iv) initiatives to influence and impact on policymakers.

During the project, nine MHFA courses were delivered to Deaf communities across different locations in Wales, often with information and advertisements circulated directly to Deaf communities through Deaf clubs, resulting in 120 Deaf people trained. The authors conclude with their own reflections as a researcher and an MHFA who work predominantly with Deaf communities.

This paper provides a discussion on the specific risks for Deaf people around mental health and the importance of mental health promotion programmes for Deaf communities. Further research is needed regarding the impact of MHFA on Deaf populations.

Cultural, social, and psychological perspectives on mergers assume conflict to be an important mediator of post-merger outcomes. Yet, despite a growing literature on the human side of mergers, conflict in mergers remains poorly understood.

Based on the disputing perspective and negotiated order theory, a contextual and dynamic approach is presented along with propositions to guide future empirical research in the form of a process model of post-merger order negotiation.

When negotiating the post-merger order, different issues emerge that are embedded in the broader context of the merger.

Adopting this theoretical framework allows us to understand the intergroup dynamics and antagonistic behavior observed in mergers.

This study aims to test the relationship between two measures of sociocultural adjustment (perceived acceptance and work standard) with work attitudes and behavior and with psychological distress following an internal merger of two previously distinct working groups within the one business.

A field study, using a cross‐sectional design, was used to assess the reactions of 250 employees (host employees=170; relocated employees=80) who had undergone an internal merger within a communications company.

Perceived acceptance and work standards following the merger were significantly related to work attitudes and behavior for both the host and the relocated employees. There was no direct relationship between perceived acceptance and work standards with psychological distress. However, work attitudes and behavior were found to mediate the indirect effect of perceived acceptance and work standards on psychological distress.

The findings must be considered within the limitations of the study which include the use of a cross‐sectional design and testing within one business setting.

The research suggests that ensuring that employees from both pre‐merger groups are assisted in feeling accepted in the new culture and that both groups are giving support and resources to maintain work standards are important factors in managing post‐merger integration.

The study is the first to empirically test Berry's concepts of sociocultural adjustment, neutrality and asymmetry within an internal business merger.